QButterfly: Lightweight Survey Extension for Online User-Interaction Studies for Non-Tech-Savvy Researchers

要旨

We provide a user-friendly, flexible, and lightweight open-source HCI toolkit (github.com/QButterfly) that allows non-tech-savvy researchers to conduct online user interaction studies using the widespread Qualtrics and LimeSurvey platforms. These platforms already provide rich functionality (e.g., for experiments or usability tests) and therefore lend themselves to an extension to display stimulus web pages and record clickstreams. The toolkit consists of a survey template with embedded JavaScript, a JavaScript library embedded in the HTML web pages, and scripts to analyze the collected data. No special programming skills are required to set up a study or match survey data and user interaction data after data collection. We empirically validated the software in a laboratory and a field study. We conclude that this extension, even in its preliminary version, has the potential to make online user interaction studies (e.g., with crowdsourced participants) accessible to a broader range of researchers.

著者
Nico Ebert
ZHAW School of Management and Law, Winterthur, Zurich, Switzerland
Björn Scheppler
ZHAW School of Management and Law, Winterthur, Switzerland
Kurt Alexander. Ackermann
ZHAW School of Management and Law, Winterthur, Zurich, Switzerland
Tim Geppert
Institut für Wirtschaftsinformatik, Winterthur, Switzerland
論文URL

https://doi.org/10.1145/3544548.3580780

動画

会議: CHI 2023

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2023.acm.org/)

セッション: Data for Productivity

Hall B
6 件の発表
2023-04-24 20:10:00
2023-04-24 21:35:00